Maksims Volkovs
Maksims Volkovs
Layer6 AI
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
Continuous data cleaning
M Volkovs, F Chiang, J Szlichta, RJ Miller
2014 IEEE 30th international conference on data engineering, 244-255, 2014
1252014
Boltzrank: learning to maximize expected ranking gain
MN Volkovs, RS Zemel
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1242009
DropoutNet: Addressing Cold Start in Recommender Systems.
M Volkovs, GW Yu, T Poutanen
NIPS, 4957-4966, 2017
1162017
A flexible generative model for preference aggregation
MN Volkovs, RS Zemel
Proceedings of the 21st international conference on World Wide Web, 479-488, 2012
742012
Content-based neighbor models for cold start in recommender systems
M Volkovs, GW Yu, T Poutanen
Proceedings of the Recommender Systems Challenge 2017, 1-6, 2017
692017
Effective latent models for binary feedback in recommender systems
M Volkovs, GW Yu
Proceedings of the 38th international ACM SIGIR conference on research and …, 2015
662015
Collaborative ranking with 17 parameters
M Volkovs, R Zemel
Advances in neural information processing systems 25, 2294-2302, 2012
642012
Learning to rank with multiple objective functions
KM Svore, MN Volkovs, CJC Burges
Proceedings of the 20th international conference on World wide web, 367-376, 2011
642011
New learning methods for supervised and unsupervised preference aggregation
MN Volkovs, RS Zemel
The Journal of Machine Learning Research 15 (1), 1135-1176, 2014
442014
Two-stage model for automatic playlist continuation at scale
M Volkovs, H Rai, Z Cheng, G Wu, Y Lu, S Sanner
Proceedings of the ACM Recommender Systems Challenge 2018, 1-6, 2018
342018
Learning to rank by aggregating expert preferences
MN Volkovs, H Larochelle, RS Zemel
Proceedings of the 21st ACM international conference on Information and …, 2012
312012
Improving transformer optimization through better initialization
XS Huang, F Perez, J Ba, M Volkovs
International Conference on Machine Learning, 4475-4483, 2020
232020
Context models for web search personalization
M Volkovs
arXiv preprint arXiv:1502.00527, 2015
232015
Efficient sampling for bipartite matching problems
M Volkovs, R Zemel
Advances in Neural Information Processing Systems 25, 1313-1321, 2012
212012
Explore-exploit graph traversal for image retrieval
C Chang, G Yu, C Liu, M Volkovs
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
202019
Guided similarity separation for image retrieval
C Liu, G Yu, M Volkovs, C Chang, H Rai, J Ma, SK Gorti
Advances in Neural Information Processing Systems 32, 1556-1566, 2019
192019
Noise Contrastive Estimation for One-Class Collaborative Filtering
G Wu, M Volkovs, CL Soon, S Sanner, H Rai
Proceedings of the 41st International ACM SIGIR Conference on Research and …, 2019
182019
Two-stage approach to item recommendation from user sessions
M Volkovs
Proceedings of the 2015 International ACM Recommender Systems Challenge, 1-4, 2015
152015
Probabilistic simulation of quantum circuits with the transformer
J Carrasquilla, D Luo, F Pérez, A Milsted, BK Clark, M Volkovs, L Aolita
arXiv preprint arXiv:1912.11052, 2019
142019
CRF framework for supervised preference aggregation
MN Volkovs, RS Zemel
Proceedings of the 22nd ACM international conference on Information …, 2013
132013
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Articles 1–20